Prediction of effective moment of inertia for hybrid FRP-steel reinforced concrete beams using the genetic algorithm
نویسندگان
چکیده مقاله:
Abstract: The use of Concrete beams reinforced with a combination of fiber reinforced polymer (FRP) and steel bars has increased dramatically in recent years, due to improvement in strength and flexural ductility simultaneously. In this paper, we proposed a new equation for estimating the effective moment of inertia of hybrid FRP-steel reinforced concrete (RC) beams on the basis of the genetic algorithm and experimental results.The genetic algorithm is used to optimize the percent error between experimental and analytical responses. In the proposed equation, additional coefficients are considered in order to take into account the specific properties of FRP bars. The effects of the elastic modulus of FRP and steel bars, the hybrid reinforcement ratio, Af /As, and the different level of loading on the effective moment of inertia has been considered.These coefficients are used to modify Branson’s equation to compute the effective moment of inertia of concrete beams reinforced by FRP and steel bars. Comparison between the experimental and predicted results showed the adequacy of the model used in predicting the effective moment of inertia, and deflection of hybrid – RC beams.
منابع مشابه
effective moment of inertia of frp reinforced concrete beams
concrete beams reinforced with glass fiber reinforced polymer (gfrp) bars exhibit large deflections and crack widths as compared with steel reinforced concrete beams due to the low modulus of elasticity of gfrp bars. different studies show that aci 318 equation for the effective moment of inertia ie does not predict deflection well for frp reinforced concrete beams. the purpose of this paper is...
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Article history: Received 31 December 2010 Received in revised form 9 February 2011 Accepted 14 February 2011 Available online 24 March 2011
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عنوان ژورنال
دوره 2 شماره 1
صفحات 15- 23
تاریخ انتشار 2017-09
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